Classification of Damages on Aircraft Inspection Images Using Convolutional Neural Networks: Kick-starting a Deep Learning project with limited data

Aircraft inspections after unexpected incidents, like lightning strikes, currently require a timeconsuming and costly inspection process, due to the small size of the lightning strike damages. Mainblades Inspections is working on an automated, drone-based solution, that scans the aircraft hull with a high-resolution camera. The objective of this...

Tram-train: when is it a suitable mode?: Development of a model to determine applicability of tram-train

In this thesis, the applicability of tram-train in an urban region is studied. A three-step top-down method is used, to narrow down the solution space and determine whether a tram-train solution can be applied, is suitable and technically feasible.

LMI-based Stability Analysis for Learning Control: Deep Neural Networks and Locally Weighted Learning

Learning capabilities are a key requisite for an autonomous agent operating in dynamically changing and complex environments, where pre-programming is not anymore possible. Furthermore, it is essential to guarantee that the learning agent will act safely by considering its stability properties. In this thesis, novel conditions are proposed,...